PyStellarDB is a Python API for executing Transwarp Exetended OpenCypher(TEoC) and Hive query. It could also generate a RDD object which could be used in PySpark. It is base on PyHive(https://github.com/dropbox/PyHive) and PySpark(https://github.com/apache/spark/)
We hack a way to generate RDD object using the same method in sc.parallelize(data). It could cause memory panic if the query returns a large amount of data.
Users could use a workaround if you do need huge data:
- If you are querying a graph, refer to StellarDB manual of Chapter 4.4.5 to save the query data into a temporary table.
- If you are querying a SQL table, save your query result into a temporary table.
- Find the HDFS path of the temporary table generated in Step 1 or Step 2.
- Use API like sc.newAPIHadoopFile() to generate RDD.
"""version < 1.0 """
from pystellardb import stellar_hive
conn = stellar_hive.StellarConnection(host="localhost", port=10000, graph_name='pokemon')
cur = conn.cursor()
cur.execute('config query.lang cypher')
cur.execute('use graph pokemon')
cur.execute('match p = (a)-[f]->(b) return a,f,b limit 1')
print cur.fetchall()
"""version >= 1.0 """
from pystellardb import Connection, Graph
conn = stellar_hive.StellarConnection(host="localhost", port=10000)
graph = Graph('pokemon', conn)
query_result = graph.execute('match p = (a)-[f]->(b) return a,f,b limit 1')
for row in query_result:
print(row[0].toJSON(), row[1].toJSON(), row[2].toJSON())"""version < 1.0 """
from pystellardb import stellar_hive
conn = stellar_hive.StellarConnection(host="localhost", port=10000, username='hive', password='123456', auth='LDAP', graph_name='pokemon')
cur = conn.cursor()
cur.execute('config query.lang cypher')
cur.execute('use graph pokemon')
cur.execute('match p = (a)-[f]->(b) return a,f,b limit 1')
print cur.fetchall()
"""version >= 1.0 """
from pystellardb import Connection, Graph
conn = stellar_hive.StellarConnection(host="localhost", port=10000, username='hive', password='123456', auth='LDAP')
graph = Graph('pokemon', conn)
query_result = graph.execute('match p = (a)-[f]->(b) return a,f,b limit 1')
for row in query_result:
print(row[0].toJSON(), row[1].toJSON(), row[2].toJSON())# Make sure you have the correct realms infomation about the KDC server in /etc/krb5.conf
# Make sure you have the correct keytab file in your environment
# Run kinit command:
# In Linux: kinit -kt FILE_PATH_OF_KEYTABL PRINCIPAL_NAME
# In Mac: kinit -t FILE_PATH_OF_KEYTABL -f PRINCIPAL_NAME
# Run with Kerberos path environment variables
# ENV KRB5_CONFIG=/etc/krb5.conf
# ENV KRB5_CLIENT_KTNAME=/etc/krb5.keytab
# ENV KRB5_KTNAME=/etc/krb5.keytab
"""version < 1.0 """
from pystellardb import stellar_hive
conn = stellar_hive.StellarConnection(host="localhost", port=10000, kerberos_service_name='hive', auth='KERBEROS', graph_name='pokemon')
cur = conn.cursor()
cur.execute('config query.lang cypher')
cur.execute('use graph pokemon')
cur.execute('match p = (a)-[f]->(b) return a,f,b limit 1')
print cur.fetchall()
"""version >= 1.0 """
from pystellardb import Connection, Graph
conn = stellar_hive.StellarConnection(host="localhost", port=10000, kerberos_service_name='hive', auth='KERBEROS')
graph = Graph('pokemon', conn)
query_result = graph.execute('match p = (a)-[f]->(b) return a,f,b limit 1')
for row in query_result:
print(row[0].toJSON(), row[1].toJSON(), row[2].toJSON())from pystellardb import stellar_hive
# If `graph_name` parameter is None, it will execute a Hive query and return data just as PyHive does
conn = stellar_hive.StellarConnection(host="localhost", port=10000, database='default')
cur = conn.cursor()
cur.execute('SELECT * FROM default.abc limit 10')"""version < 1.0 """
from pyspark import SparkContext
from pystellardb import stellar_hive
sc = SparkContext("local", "Demo App")
conn = stellar_hive.StellarConnection(host="localhost", port=10000, graph_name='pokemon')
cur = conn.cursor()
cur.execute('config query.lang cypher')
cur.execute('use graph pokemon')
cur.execute('match p = (a)-[f]->(b) return a,f,b limit 10')
rdd = cur.toRDD(sc)
def f(x): print(x)
rdd.map(lambda x: (x[0].toJSON(), x[1].toJSON(), x[2].toJSON())).foreach(f)
"""version >= 1.0 """
from pyspark import SparkContext
from pystellardb import Connection, Graph
sc = SparkContext("local", "Demo App")
conn = stellar_hive.StellarConnection(host="localhost", port=10000)
graph = Graph('pokemon', conn)
query_result = graph.execute('match p = (a)-[f]->(b) return a,f,b limit 1')
rdd = query_result.toRDD(sc)
def f(x): print(x)
rdd.map(lambda x: (x[0].toJSON(), x[1].toJSON(), x[2].toJSON())).foreach(f)
# Every line of this query is in format of Tuple(VertexObject, EdgeObject, VertexObject)
# Vertex and Edge object has a function of toJSON() which can print the object in JSON formatfrom pyspark import SparkContext
from pystellardb import stellar_hive
sc = SparkContext("local", "Demo App")
conn = stellar_hive.StellarConnection(host="localhost", port=10000)
cur = conn.cursor()
cur.execute('select * from default_db.default_table limit 10')
rdd = cur.toRDD(sc)
def f(x): print(x)
rdd.foreach(f)
# Every line of this query is in format of Tuple(Column, Column, Column)- Python 3.6+
Ubuntu:
apt-get install libsasl2-dev libsasl2-2 libsasl2-modules-gssapi-mit
apt-get install python3-dev gcc #Update python and gcc if neededRHEL/CentOS:
yum install cyrus-sasl-md5 cyrus-sasl-plain cyrus-sasl-gssapi cyrus-sasl-devel
yum install gcc-c++ python3-devel.x86_64 #Update python and gcc if needed
# if pip3 install fails with a message like 'Can't connect to HTTPS URL because the SSL module is not available'
# you may need to update ssl & reinstall python
# 1. Download a higher version of openssl, e.g: https://www.openssl.org/source/openssl-1.1.1k.tar.gz
# 2. Install openssl: ./config && make && make install
# 3. Link openssl: echo /usr/local/lib64/ > /etc/ld.so.conf.d/openssl-1.1.1.conf
# 4. Update dynamic lib: ldconfig -v
# 5. Uninstall Python & Download a new Python source package
# 6. vim Modules/Setup, search '_socket socketmodule.c', uncomment
# _socket socketmodule.c
# SSL=/usr/local/ssl
# _ssl _ssl.c \
# -DUSE_SSL -I$(SSL)/include -I$(SSL)/include/openssl \
# -L$(SSL)/lib -lssl -lcrypto
#
# 7. Install Python: ./configure && make && make installWindows:
# There are 3 ways of installing sasl for python on windows
# 1. (recommended) Download a .whl version of sasl from https://www.lfd.uci.edu/~gohlke/pythonlibs/#sasl
# 2. (recommended) If using anaconda, use conda install sasl.
# 3. Install Microsoft Visual C++ 9.0/14.0 buildtools for python2.7/3.x, then pip install sasl.Pystellardb >= 0.9 contains beeline installation to /usr/local/bin/beeline.
Install using
pip install 'pystellardb[hive]'for the Hive interface.
PyHive works with
- For Hive: HiveServer2 daemon
Windows Kerberos configuration can be a little bit tricky and may need a few instructions. First, you'll need to install & configure Kerberos for Windows. Get it from http://web.mit.edu/kerberos/dist/
After installation, configure the environment variables. Make sure the position of your Kerberos variable is ahead of JDK variable, avoid using kinit command located in JDK path.
Find /etc/krb5.conf on your KDC, copy it into krb5.ini on Windows with some modifications. e.g.(krb5.conf on KDC):
[logging]
default = FILE:/var/log/krb5libs.log
kdc = FILE:/var/log/krb5kdc.log
admin_server = FILE:/var/log/kadmind.log
[libdefaults]
default_realm = DEFAULT
dns_lookup_realm = false
dns_lookup_kdc = false
ticket_lifetime = 24h
renew_lifetime = 7d
forwardable = true
allow_weak_crypto = true
udp_preference_limit = 32700
default_ccache_name = FILE:/tmp/krb5cc_%{uid}
[realms]
DEFAULT = {
kdc = host1:1088
kdc = host2:1088
}Modify it, delete [logging] and default_ccache_name in [libdefaults]:
[libdefaults]
default_realm = DEFAULT
dns_lookup_realm = false
dns_lookup_kdc = false
ticket_lifetime = 24h
renew_lifetime = 7d
forwardable = true
allow_weak_crypto = true
udp_preference_limit = 32700
[realms]
DEFAULT = {
kdc = host1:1088
kdc = host2:1088
}Above is your krb5.ini for Kerberos on Windows. Put it at 3 places:
C:ProgramDataMITKerberos5krb5.ini
C:Program FilesMITKerberoskrb5.ini
C:Windowskrb5.ini
Finally, configure hosts file at: C:/Windows/System32/drivers/etc/hosts Add ip mappings of host1, host2 in the previous example. e.g.
10.6.6.96 host1
10.6.6.97 host2Now, you can try running kinit in your command line!
On his way